(a) Report the estimated model in standard form, including standard errors. (b) Interpret the estimates of all parameters (including the constant term), paying special Attention to the units of measurement. (25) Interpret the R2 Of the model. (10) (d) Interpret the F-statistic of the model (clearly state the null and alternative hypotheses And whether you reject the null or not and at what level of significance). (10) Test at the 5% significance level the hypothesis that the parameter associated with The "bedrooms" variable is equal to 10. (20) (f) Interpret the number "0.10936" that appears under the "Prob." Column and on the row Corresponding to the "backyard" variable on the table above. (10) (g) After estimating the model, the statistician obtains the residuals and plots them Against the dependent variable (see the figure below). What problem of the model do You identify from this residual plot? How would you alter the model to correct for this